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DBMS > Hyprcubd vs. Ignite vs. Microsoft Azure Synapse Analytics vs. Spark SQL vs. STSdb

System Properties Comparison Hyprcubd vs. Ignite vs. Microsoft Azure Synapse Analytics vs. Spark SQL vs. STSdb

Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonIgnite  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelTime Series DBMSKey-value store
Relational DBMS
Relational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitehyprcubd.com (offline)ignite.apache.orgazure.microsoft.com/­services/­synapse-analyticsspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationapacheignite.readme.io/­docsdocs.microsoft.com/­azure/­synapse-analyticsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperHyprcubd, Inc.Apache Software FoundationMicrosoftApache Software FoundationSTS Soft SC
Initial release2015201620142011
Current releaseApache Ignite 2.63.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++, Java, .NetC++ScalaC#
Server operating systemshostedLinux
OS X
Solaris
Windows
hostedLinux
OS X
Windows
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyesyesyesyes infoprimitive types and user defined types (classes)
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesnono
Secondary indexesnoyesyesnono
SQL infoSupport of SQLSQL-like query languageANSI-99 for query and DML statements, subset of DDLyesSQL-like DML and DDL statementsno
APIs and other access methodsgRPC (https)HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
JDBC
ODBC
.NET Client API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
PHP
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)Transact SQLnono
Triggersnoyes (cache interceptors and events)nonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datanoyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controltoken accessSecurity Hooks for custom implementationsyesnono

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More resources
HyprcubdIgniteMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSpark SQLSTSdb
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